Fusion of 3D Data from Different Image-based and Range-based Sources for Efficient Heritage Recording

dc.contributor.authorMuñumer, Estibalizen_US
dc.contributor.authorLerma, José Luisen_US
dc.contributor.editorGabriele Guidi and Roberto Scopigno and Fabio Remondinoen_US
dc.date.accessioned2016-01-06T08:14:11Z
dc.date.available2016-01-06T08:14:11Z
dc.date.issued2015en_US
dc.description.abstractThe rapid proliferation of three-dimensional (3D) data acquisition techniques based either on image-based approaches or on range-based approaches is changing the way cultural heritage is recorded. Independently of the technique selected, low-cost structure-from-motion (SfM) photogrammetric computer vision, stereo-plotting, surveying either with measuring tape, total station or global navigation satellite system (GNSS), up to laser scanning/LiDAR/RADAR, among others, there is a need to fuse efficiently different datasets. This research aims to test the fusion performance of the new 3DVEM - Register GEO software for the recording of a complex sculpture. The fusion of data will consider several point clouds acquired with a terrestrial laser scanner and one high-resolution point cloud generated with SfM software. The registration process is performed to merge all the data in a final homogeneous framework (reference system). The results obtained will be used to create a high-resolution 3D model of the sculpture from the consolidated data.en_US
dc.description.sectionheadersShort Papers - Architecturesen_US
dc.description.seriesinformationInternational Congress on Digital Heritage - Theme 1 - Digitization And Acquisitionen_US
dc.identifier.doi10.1109/DigitalHeritage.2015.7413840en_US
dc.identifier.isbn978-1-5090-0048-7en_US
dc.identifier.urihttps://doi.org/10.1109/DigitalHeritage.2015.7413840en_US
dc.publisherIEEEen_US
dc.subjectsculptureen_US
dc.subjectheritageen_US
dc.subject3D modelingen_US
dc.subjectdata mergingen_US
dc.subjectregistrationen_US
dc.subjectalignmenten_US
dc.subjectpoint cloudsen_US
dc.subjectlaser scanningen_US
dc.subjectSfMen_US
dc.titleFusion of 3D Data from Different Image-based and Range-based Sources for Efficient Heritage Recordingen_US
Files
Collections